Exploring expectations and perceptions of different manual therapy techniques in chronic low back pain: a qualitative study
Bibliographic record
Abstract
BACKGROUND: Chronic low back pain (CLBP) prevalence has steadily increased over the last two decades. Manual therapy (MT) is recommended within a multimodal management approach to improve pain and disability although evidence investigating the patients' experience of MT is scarce. OBJECTIVE: To explore expectations and perceptions of MT techniques in people with CLBP. METHODS: A qualitative study embedded sequential to an experimental trial using semi-structured interviews (SSI) explored participants' experiences of thrust, non-thrust and sham technique. Purposive sampling enabled variance in age and CLBP duration. An evidence informed topic guide was used. Data were analysed using thematic analysis (TA). Respondent validation and peer debriefing enhanced trustworthiness. The Consolidating Criteria for Reporting Qualitative Studies (COREQ) reported methodological rigour. FINDINGS: Ten participants (50% male) with a mean age of 29.1 years (Standard Deviation (SD): 7.9, range: 19-43), a mean pain intensity of 4.5 on a Numeric Rating Scale (NRS) 0-10 (SD: 1.5, range: 2-7), a mean Oswestry Disability Score (ODI) of 9 (SD: 4.6, range: 2-17) and a mean Tampa Scale of Kinesiophobia (TSK) score of 38.6 (SD: 4.8, range: 30-45) participated. Four themes were identified: understanding of pain; forming expectations; perception of care; re-evaluation of body awareness and management. Understanding of CLBP is formed by an individuals' pain perception and exchange with social environment. This, combined with communication with physiotherapist influenced expectations regarding the MT technique. CONCLUSION: Expectations for MT were formed by an individual's social environment and previous experience. A treatment technique is perceived as positive if its characteristics are aligned with the individual's understanding of pain and if care is delivered in an informative and reassuring manner.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".